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Bayesian estimation of DSGE models with Hamiltonian Monte Carlo

  • In this paper we adapt the Hamiltonian Monte Carlo (HMC) estimator to DSGE models, a method presently used in various fields due to its superior sampling and diagnostic properties. We implement it into a state-of-theart, freely available high-performance software package, STAN. We estimate a small scale textbook New-Keynesian model and the Smets-Wouters model using US data. Our results and sampling diagnostics confirm the parameter estimates available in existing literature. In addition, we find bimodality in the Smets-Wouters model even if we estimate the model using the original tight priors. Finally, we combine the HMC framework with the Sequential Monte Carlo (SMC) algorithm to create a powerful tool which permits the estimation of DSGE models with ill-behaved posterior densities.

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Author:Mátyás Farkas, Balint Tatar
URN:urn:nbn:de:hebis:30:3-554818
URL:https://www.imfs-frankfurt.de/fileadmin/user_upload/IMFS_WP/IMFS_WP_144.pdf
Parent Title (English):Working paper series / Institute for Monetary and Financial Stability ; 144 [Version October 22, 2020]
Series (Serial Number):Working paper series / Institute for Monetary and Financial Stability (144 [v. 22 10.2020])
Publisher:Johann Wolfgang Goethe-Univ., Inst. for Monetary and Financial Stability
Place of publication:Frankfurt am Main
Document Type:Working Paper
Language:English
Year of Completion:2020
Date of first Publication:2020/10/22
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2020/10/26
Tag:Bayesian Analysis; DSGE Estimation; Hamiltonian Monte Carlo
Page Number:75
Note:
Eine ältere Version ist zu finden unter http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hebis:30:3-554705
HeBIS-PPN:471427624
Institutes:Wirtschaftswissenschaften / Wirtschaftswissenschaften
Wissenschaftliche Zentren und koordinierte Programme / Institute for Monetary and Financial Stability (IMFS)
Wissenschaftliche Zentren und koordinierte Programme / Sustainable Architecture for Finance in Europe (SAFE)
Dewey Decimal Classification:3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft
JEL-Classification:C Mathematical and Quantitative Methods / C1 Econometric and Statistical Methods: General / C11 Bayesian Analysis
C Mathematical and Quantitative Methods / C1 Econometric and Statistical Methods: General / C15 Simulation Methods
Sammlungen:Universitätspublikationen
Licence (German):License LogoDeutsches Urheberrecht